Typo in output for UNQ_C10

Course Q&A AI For Medicine AI For Medical Treatment
1

Can you please check the output for UNQ_C10?

My code returns:

best_hyperparam
{'n_estimators': 20,
 'max_depth': 2,
 'min_samples_leaf': 0.1,
 'random_state': 0}
best_score: 0.5986

Which has a better score than the Expected Output:

best_hyperparam
{'n_estimators': 10,
 'max_depth': 2,
 'min_samples_leaf': 0.1,
 'random_state': 0}

best_score: 0.5928
2

Hi @wdduncan . That is great! Learners are encouraged to experiment with the parameters to achieve better scores. The notebook usually provides parameters for acceptable results and not necessarily the best ones.

3

Hi @wdduncan

It looks like the output of your code is returning a set of hyperparameters and a score that is slightly better than the expected output.

It is important to keep in mind that the results of machine learning models can vary depending on the specific initialization of the model, the specific data used during training, and the specific implementation of the model. Therefore, it is not uncommon for the results of a model to be slightly different each time it is trained.

It is also important to note that a difference of 0.006 in the score may not be significant and in some cases, it might not be a big difference. It is recommended to compare the model performance using other metrics such as precision, recall, and F1-score, and also to evaluate the model using test data or unseen data.

In summary, it looks like your code is returning a set of hyperparameters and a score that is slightly better than the expected output, but it may not be a significant difference and it is important to evaluate the model performance using other metrics and unseen data.

Hope so this answers your question

Regards
Muhammad John Abbas

4

Thanks @Muhammad_John_Abbas !